Zhenyeย N

Software Development Engineer, ML Networking at Amazon Web Services (AWS)

California, United States
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Summary

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Senior
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Top School
Zhenye N is a software development engineer with 8 years of experience focused on ML infrastructure and generative AI, currently working on ML networking infra at Annapurna Labs/AWS in California. He has progressed through roles at AWS from GenAI to 5G and brings a strong background in DataOps and DevOps tooling from earlier positions, including Kubernetes, Prometheus, Jenkins, and Python automation. His MS in Industrial Engineering with a specialization in Advanced Analytics underpins a data-driven approach to building scalable, production ML systems. Comfortable across cloud-native stacks and edge networking, he blends low-level infrastructure work with applied machine learning productization. A self-described night owl, he often tackles complex reliability and observability challenges outside typical hours, reflecting a hands-on, persistent engineering style.
code8 years of coding experience
job5 years of employment as a software developer
bookMaster of Science - MS, Industrial Engineering in Advanced Analytics, Master of Science - MS, Industrial Engineering in Advanced Analytics at University of Illinois Urbana-Champaign
bookBachelor of Engineering - BE, Harbor, Waterway and Coastal Engineering, Bachelor of Engineering - BE, Harbor, Waterway and Coastal Engineering at Dalian University of Technology
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Stackoverflow

Stats
433reputation
84kreached
2answers
7questions
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Github Skills (200)

encrypt10
sharding10
chat10
automation10
serverless10
cpp10
openapi10
papermill10
scheduler10
api10
data-science10
apache10
airflow10
dcgan10
recurrent-neural-networks10

Programming languages (23)

SmartyJavaCSSC++RustCPLpgSQLTeX

Github contributions (5)

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๐Ÿ’ฏ Cheatsheets for AWS Certified Exams - AWS Certified Solutions Architect Associate
Contributions:127 commits, 24 PRs, 79 pushes in 1 year 11 months
awsaws-certificationaws-certified-solutions-architectaws-certcheatsheet
Zhenye-Na/DA-RNN

May 2018 - Nov 2020

๐Ÿ“ƒ ๐–€๐–“๐–”๐–‹๐–‹๐–Ž๐–ˆ๐–Ž๐–†๐–‘ PyTorch Implementation of DA-RNN (arXiv:1704.02971)
Contributions:37 commits, 4 PRs, 28 pushes in 2 years 6 months
pytorchrnn-pytorchrecurrent-neural-networksdeep-learningpaper-implementations
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